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Deep Extreme Cut: From Extreme Points to Object Segmentation

Research article (2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018) · cited 471× · AI/ML
academia openalex:W2769833683
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Deep Extreme Cut: From Extreme Points to Object Segmentation

Summary

Deep Extreme Cut: From Extreme Points to Object Segmentation is a scholarly article[1].

Key Facts

  • Deep Extreme Cut: From Extreme Points to Object Segmentation's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Deep Extreme Cut: From Extreme Points to Object Segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-extreme-cut-from-extreme-points-to-object-segmentation
MLA “Deep Extreme Cut: From Extreme Points to Object Segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-extreme-cut-from-extreme-points-to-object-segmentation.
BibTeX @misc{4ortxyz_deep-extreme-cut-from-extreme-points-to-object-segmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep Extreme Cut: From Extreme Points to Object Segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/deep-extreme-cut-from-extreme-points-to-object-segmentation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep Extreme Cut: From Extreme Points to Object Segmentation — https://4ort.xyz/entity/deep-extreme-cut-from-extreme-points-to-object-segmentation (retrieved 2026-05-24)

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